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Application of Artificial Neural Networks for the Prediction of Water Quality Variables in the Nile Delta
Artificial Neural Networks Regression with Autocorrelated Errors Water Quality Prediction Nile Delta
2013/3/19
The quality of a water body is usually characterized by sets of physical, chemical, and biological parameters, which are mutually interrelated. Since August 1997, monthly records of 33 parameters, mon...
LINEAR GEOSTATISTICAL MODELS FOR ESTIMATING GROUNDWATER QUALITY VARIABLES
regional groundwater quality mapping problems
2009/10/13
Geostatistics provides set of probabilistic techniques, which are useful to detect and find the mode of patterns of spatial dependence of attribute values in space, and further use these models for th...
Assessment of spatial structure of groundwater quality variables based on the entropy theory
transinformation correlation spatial structure
2009/3/12
Fundamental to the spatial sampling design of a groundwater quality monitoring network is the spatial structure of groundwater quality variables. The entropy theory presents an alternative approach to...
Litter Decomposition of Picea orientalis, Pinus sylvestris and Castanea sativa Trees Grown in Artvin in Relation to Their Initial Litter Quality Variables
Decomposition forest ecosystem litter quality lignin Artvin
2009/1/13
The aim of the present study was to determine the effects of the litter chemistry of spruce (Picea orientalis), pine (Pinus sylvestris) and chestnut (Castanea sativa) grown in the Artvin region on th...